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Mid-level experience and metro location but niche robotics sensor specialization limit candidate pool.
Highly specialized sensor and robotics perception skills make cross-industry transferability low.
Explicit 3–5 years, mandatory sensor calibration experience, and specific sensor/tool requirements increase filter strictness.
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Determine sensor and perception feasibility for robotics and Physical AI requirements, specifying data-level accuracy and configuration needs.
Certify device feeds during pilots by validating sensor output against ground-truth standards to prevent delivery issues.
Continuously evaluate and onboard new sensing hardware across diverse device types, providing actionable recommendations to Product, Engineering, and Solutions teams.
3–5 years of hands-on experience in perception, sensing, or robotics ML involving real sensor data.
Practical experience with sensor calibration and characterization, including intrinsic/extrinsic parameters and multi-sensor alignment.
Proficiency in 3D geometry concepts: transformations, camera models, projection, and coordinate frames without reliance on references.
Direct experience with at least two of the following: optical/IR tracking, depth cameras, IMU rigs, optical mocap, or XR headset sensor stacks.
Technical authority in sensor feasibility and calibration able to translate complex sensing trade-offs to both engineers and clients effectively.
Device-agnostic expertise across multiple sensor hardware types with a physics-based approach to validate data quality and sensor limitations.
Experienced with hands-on perception implementations and sensor data pipelines supporting robotics data collection and perception solutions.